Evans, Keith S.; Weninger, Quinn

WP #10014, June 2010

We present a dynamic game of search and learning about the productivity of com-peting fishing locations. Perfect Bayesian Nash equilibrium search patterns for non-cooperating fishermen and members of an information sharing cooperative are com-pared with first-best outcomes. Independent fishermen do not internalize the full valueof information, and do not replicate first-best search. A fishing cooperative faces afree-riding problem, as each coop member prefers that other members undertake costlysearch for information. Pooling contracts among coop members may mitigate, butare not likely to eliminate free riding. Our results explain the paucity of informationsharing in fisheries and suggest regulators use caution in advocating cooperatives as asolution to common pool ineffciencies in fisheries.

JEL Classification: D8, Q2

Keywords: search, Information sharing, Dynamic Bayesian game, Fishing cooperative

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